====================================================================== Research-grade CFCO: Coalition Formation for Collaborative VEC ====================================================================== Topology: 1D, N=60, runs=10, seeds=[2024, 42, 123, 7, 99, 314, 2023, 1, 88, 555] Algorithms: ['CFCO', 'Singleton', 'MEC-only', 'Random', 'SNR-Greedy', 'Cap-Greedy', 'Matching', 'BR-LS', 'SA'] Running main experiment... Main results (mean +/- std): Algorithm SW Delay(s) MaxD(s) Energy(J) Success Jain Runtime(s) CFCO 481.28 0.2254 0.6327 0.9350 0.998 0.716 9.1679 Singleton 378.05 0.3183 0.9578 1.0841 0.967 0.606 0.7504 MEC-only 281.45 0.4547 0.9233 0.4085 0.940 0.505 0.7628 Random 263.10 0.4149 0.8158 1.4146 0.973 0.410 0.1274 SNR-Greedy 398.27 0.2560 0.6380 1.4351 0.998 0.571 0.3519 Cap-Greedy 397.83 0.2578 0.6352 1.4277 0.998 0.576 0.3692 Matching 400.70 0.2950 0.8100 1.0438 0.990 0.646 0.7674 BR-LS 480.24 0.2298 0.6373 0.9097 0.998 0.713 110.8539 SA 428.88 0.2836 0.8004 0.8187 0.987 0.683 11.7953 Paired Wilcoxon tests against CFCO: Singleton SW: diff=103.232, p=9.7656e-04 MEC-only SW: diff=199.823, p=9.7656e-04 Random SW: diff=218.179, p=9.7656e-04 SNR-Greedy SW: diff=83.010, p=9.7656e-04 Cap-Greedy SW: diff=83.450, p=9.7656e-04 Matching SW: diff=80.579, p=9.7656e-04 BR-LS SW: diff=1.036, p=2.4414e-02 SA SW: diff=52.393, p=9.7656e-04 Running small-scale exact optimality-gap experiment (N=12)... CFCO exact optimality gap: 0.03% +/- 0.06% over 10 seeds Running scenario sweeps... Scenario sweeps use 5 seed(s): [2024, 42, 123, 7, 99] Generating plots... Writing Excel, LaTeX tables, and config snapshot... Excel: /tmp/zkl/CFCO_10NG/results/plot_data.xlsx LaTeX main table: /tmp/zkl/CFCO_10NG/results/table_main_results.tex LaTeX scenario table: /tmp/zkl/CFCO_10NG/results/table_scenarios.tex LaTeX significance table: /tmp/zkl/CFCO_10NG/results/table_significance.tex LaTeX ILP gap table: /tmp/zkl/CFCO_10NG/results/table_ilp_gap.tex Config snapshot: /tmp/zkl/CFCO_10NG/results/config_used.json All tasks completed successfully.